code: def testBroadcastScalarToNonScalar(self):
      with self.session():
          x = np.array(1.0, dtype=np.float64)
          v_tf = array_ops.broadcast_to(
              constant_op.constant(1.0), [2, 3, 4, 1, 1, 1]
          )
          v_np = np.broadcast_to(x, [2, 3, 4, 1, 1, 1])
          self.assertAllEqual(v_tf, v_np)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the BroadcastToTest obj's underlying member method code with example usage: obj.testBroadcastScalarToNonScalar() without return types